@conference {1984536,
	title = {Interactive Network Visualization of Educational Standards, Learning Resources and Learning Progressions},
	booktitle = {Proceedings IV2023 - 27th International Conference on Information Visualisation},
	year = {2023},
	month = {2023},
	abstract = {We present a novel, network- and browser-based visualization of the Next Generation Science Standards (NGSS). The NGSS are meant to guide (USA) K-12 science and engineering learning and are almost always presented using text and tables. Their connectivity, however, lends them well for network modeling and interactive network visualization.<br><br>},
	keywords = {BIS, Design Program},
	author = {Reitsma,Reindert and Hoglund,Brian and Achatz,Nikolas and Marks,Andrea}
}
@conference {1973141,
	title = {K-12 Engineering and the Next Generation Science Standards (NGSS): A Network Visualization and Analysis},
	booktitle = {American Society for Engineering Education (ASEE)},
	year = {2020},
	month = {2020},
	abstract = {We present an interactive network visualization of the Next Generation Science Standards (NGSS) and its coverage by collections of aligned curriculum. The visualization presents an alternative to the usual presentation of the NGSS as a set of linked tables. Users can view entire grade bands, search for or drill down to the level of individual NGSS standards or curricular items, or display groups of standards across grade bands. NGSS-aligned curriculum collections can be switched on and off to visually explore their NGSS coverage. Viewing the NGSS and associated curriculum this way facilitates navigating the NGSS and can help with assessment of alignments as lacking or anomalous. Modeling the NGSS as a network also allows for the computation of network metrics to provide insight into core characteristics of the network. It also provides for detecting anomalies and unexpected patterns.},
	keywords = {BIS, Design Program},
	url = {https://strategy.asee.org/k-12-engineering-and-the-next-generation-science-standards-a-network-visualization-and-analysis-resource-exchange},
	author = {Reitsma,Reindert and Hoglund,Brian and Marks,Andrea and Chaker,Dua and Marks,Andrea}
}
@article {1973146,
	title = {The Future of Data: Too Much Visualization  Too Little Understanding?},
	journal = {Dialectic},
	volume = {2},
	year = {2019},
	month = {2019},
	abstract = {Data is part of our lives. Information visualizations help us make sense of this data and possibly help us make changes because of it. In this paper, however, we estimate some of the consequences of what seems an ominous trend, namely the needless complication and beautification of such visualizations. We argue that with increased availability of data and ever more powerful and easy to use visualization software, it becomes easy to succumb to the temptation to impress rather than to communicate. And so we wonder: is a future filled with visualizations that are visually complex and stunning, yet fail to properly communicate the data emerging? To assess some of the consequences of this practice we selected five examples from published sources, developed far simpler (and less attractive) versions from the identical data, randomly exposed these visualizations to subjects and asked simple questions about the displayed data. We find that, on average, it takes subjects longer to comprehend the complex versions, that it takes subjects longer to extract information from these versions and that they make more and larger errors doing so. The experiment shows that subjects eventually do learn how to navigate the complex versions, but by then they have spent significantly more time and made serious interpretative errors.},
	keywords = {BIS, Design Program},
	url = {https://quod.lib.umich.edu/d/dialectic/14932326.0002.207?view=text;rgn=main},
	author = {Reitsma,Reindert and Marks,Andrea}
}
